Research on Improved Genetic Algorithm for Virus Intrusion Detection Model

DOI

10.2991/ammee-17.2017.139How to use a DOI?

Keywords

improved genetic algorithm; intrusion detection model; traditional security model; computer virus.

Abstract

The purpose of this study is to solve the computer security problems. Based on the traditional security model, the hidden dangers of computer security and the advantages and disadvantages of various intrusion detection techniques are analyzed. A computer intrusion detection system based on an improved genetic algorithm is designed. The results show that the optimized genetic algorithm can improve the efficiency of intrusion detection and reduce the false alarm rate. Therefore, we conclude that the application of genetic algorithm in intrusion detection has important theoretical and practical significance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peng Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Research on Improved Genetic Algorithm for Virus Intrusion Detection Model
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 721
EP  - 727
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.139
DO  - 10.2991/ammee-17.2017.139
ID  - Zhang2017/06
ER  -